Ultrafast and high-throughput immunoassay assay to detect anti-SARS-CoV-2 IgG antibodies in dogs and cats

The fact that SARS-CoV-2 has reportedly infected companion, livestock and wildlife animals may constitute a significant risk for virus reservoirs, ground for emerging variants and potential for novel reverse zoonosis. Hence, SARS-CoV-2 surveillance in animal species is crucial to prevent emerging va...

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Veröffentlicht in:Brazilian journal of microbiology 2024-12, Vol.55 (4), p.4183-4189
Hauptverfasser: Gonçalves, Ana Carolina Aparecida, Conzentino, Marcelo dos Santos, de Souza Barbosa, Altina Bruna, Doline, Fernando Rodrigo, Nilsson, Mariana Guimarães, da Silva, Aristeu Vieira, Kmetiuk, Louise Bach, Biondo, Alexander Welker, Huergo, Luciano Fernandes
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Sprache:eng
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Zusammenfassung:The fact that SARS-CoV-2 has reportedly infected companion, livestock and wildlife animals may constitute a significant risk for virus reservoirs, ground for emerging variants and potential for novel reverse zoonosis. Hence, SARS-CoV-2 surveillance in animal species is crucial to prevent emerging variants which may spread to humans. The present study aimed to develop a simple, high-throughput and ultrafast magnetic bead immunoassay to detect anti-SARS-CoV-2 nucleocapsid and spike reactive IgG antibodies in dog and cat serum samples. The assays were validated using serum from eleven dogs and cats which had SARS-CoV-2 infections confirmed by real-time RT-PCR. The negative cohort consisted of pre-pandemic dog and cat samples. The assays performed at 73–82% sensitivity and 97.5–98% specificity for dogs and 71% sensitivity and 92–94% specificity for cats. The lower assay specificity for cats is explained by the fact that cat pre-pandemic sera showed high levels of cross-reactive with SARS-CoV-2 Nucleocapsid and Spike, supporting that these animals have been exposed to other coronavirus sharing structural similarities with SARS-CoV-2. These assays described in this work are now being used for SARS-CoV-2 surveillance and research purposes.
ISSN:1517-8382
1678-4405
1678-4405
DOI:10.1007/s42770-024-01518-4